Victre 2.0 Pipeline  0.0.1
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Variables
test_pipeline Namespace Reference

Variables

string hpc_cluster_ip = "192.168.45.21"
 
string phantoms_folder = "/gpfs_projects/VICTRE/pivotal/phantoms/withLesion/"
 
string density = "dense"
 
int seed = 2132574818
 
string spectrum_file = "./Victre/projection/spectrum/W28kVp_Rh50um_Be1mm.spc"
 
list lesion_only_materials
 
string phantom_file = phantoms_folder+density+"/pcl_{:d}_crop.raw.gz"
 
tuple pline
 
tuple vx_locations
 
string mhd_file = phantoms_folder+density+"/pc_{:d}_crop.mhd"
 
 offset = None
 
tuple line = f.readline()
 
dictionary roi_sizes
 

Variable Documentation

string test_pipeline.density = "dense"
string test_pipeline.hpc_cluster_ip = "192.168.45.21"
list test_pipeline.lesion_only_materials
Initial value:
1 = [{"material": "./Victre/projection/material/air__5-120keV.mcgpu.gz",
2  "density": 0.0012,
3  "voxel_id": [0, 1, 2, 29, 33, 88, 40, 125, 150, 225, 95, 50, 65, 66]
4  },
5  {"material": "./Victre/projection/material/glandular__5-120keV.mcgpu.gz",
6  "density": 1.06,
7  "voxel_id": [200]
8  },
9  {"material": "./Victre/projection/material/CalciumOxalate__5-120keV.mcgpu.gz",
10  "density": 1.781,
11  "voxel_id": [250]
12  }
13  ]
tuple test_pipeline.line = f.readline()
string test_pipeline.mhd_file = phantoms_folder+density+"/pc_{:d}_crop.mhd"
list test_pipeline.offset = None
string test_pipeline.phantom_file = phantoms_folder+density+"/pcl_{:d}_crop.raw.gz"
string test_pipeline.phantoms_folder = "/gpfs_projects/VICTRE/pivotal/phantoms/withLesion/"
tuple test_pipeline.pline
Initial value:
1 = Victre.Pipeline(ip=hpc_cluster_ip, seed=seed,
2  phantom_file=phantom_file)
Documentation for the Victre pipeline class.
Definition: Pipeline.py:1
dictionary test_pipeline.roi_sizes
Initial value:
1 = {Constants.VICTRE_SPICULATED: [109, 109, 9],
2  Constants.VICTRE_CLUSTERCALC: [65, 65, 5]}
int test_pipeline.seed = 2132574818
string test_pipeline.spectrum_file = "./Victre/projection/spectrum/W28kVp_Rh50um_Be1mm.spc"
tuple test_pipeline.vx_locations
Initial value:
1 = np.loadtxt("{:s}/pcl_{:d}_crop.loc".format(
2  phantoms_folder + density, seed), delimiter=' ', dtype=(int), unpack=True)